DBMS > Microsoft SQL Server vs. Netezza vs. SAP SQL Anywhere
System Properties Comparison Microsoft SQL Server vs. Netezza vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||Microsoft SQL Server Xexclude from comparison||Netezza Also called PureData System for Analytics by IBM Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||Microsofts flagship relational DBMS||Data warehouse and analytics appliance part of IBM PureSystems||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||IBM||SAP formerly Sybase|
|Current release||SQL Server 2019, November 2019||17, July 2015|
|License Commercial or Open Source||commercial restricted free version is available||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Linux included in appliance||AIX|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||yes|
|SQL Support of SQL||yes||yes||yes|
|APIs and other access methods||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes||yes, in C/C++, Java, .Net or Perl|
|Partitioning methods Methods for storing different data on different nodes||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, but depending on the SQL-Server Edition||Source-replica replication||Source-replica replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept||fine grained access rights according to SQL-standard|
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|Related products and services|
|3rd parties||General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.|
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft SQL Server||Netezza Also called PureData System for Analytics by IBM||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
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